Zinaida M. Kaskova

1.0k citations
22 papers · 528 indexed · h-index 9

Zinaida M. Kaskova

21 papers receiving 522 citations

Peers

Zinaida M. Kaskova
Comparison fields: 5 of 59
  • Molecular Biology 445
  • Biomedical Engineering 187
  • Cellular and Molecular Neuroscience 163
  • Biophysics 60
  • Organic Chemistry 57
Replace Aleksandra S. Tsarkova with:
Aleksandra S. Tsarkova Russia
Yoshiaki Toya Japan
Valentin N. Petushkov Russia
Barbara Pilas United States
Natalja S. Rodionova Russia
James A. Knopp United States
J. Monreal Spain
Bi‐Cheng Wang United States
Hidehiro Kubota Japan
Rui Fontes Portugal
Zinaida M. Kaskova relative to Aleksandra S. Tsarkova Russia Aleksandra S. Tsarkova's profile →
Citations per field
00.5×1.5×
Aleksandra S. Tsarkova · 1×
Citations per year

Countries citing papers authored by Zinaida M. Kaskova

Since Specialization
Citations

This map shows the geographic impact of Zinaida M. Kaskova's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zinaida M. Kaskova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zinaida M. Kaskova more than expected).

Fields of papers citing papers by Zinaida M. Kaskova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zinaida M. Kaskova. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zinaida M. Kaskova. The network helps show where Zinaida M. Kaskova may publish in the future.

Co-authorship network of co-authors of Zinaida M. Kaskova

This figure shows the co-authorship network connecting the top 25 collaborators of Zinaida M. Kaskova. A scholar is included among the top collaborators of Zinaida M. Kaskova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zinaida M. Kaskova. Zinaida M. Kaskova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 2
4 3
5 1
6 2
7 7
8 1
9 8
10 7
11 3
12 2
13 26
14 1
15 233
16 9
17 31
18 87
19 3
20 49

About Zinaida M. Kaskova

Zinaida M. Kaskova is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biophysics, having authored 22 papers that have together received 528 indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (18 papers), Photoreceptor and optogenetics research (5 papers) and Nicotinic Acetylcholine Receptors Study (5 papers). The work is most often cited by research in Biophysics (60 citations), Cellular and Molecular Neuroscience (163 citations) and Molecular Biology (445 citations). Zinaida M. Kaskova has collaborated with scholars based in Russia, United States and Japan. Frequent co-authors include Ilia V. Yampolsky, Aleksandra S. Tsarkova, Natalja S. Rodionova, Valentin N. Petushkov, Alexey A. Kotlobay, Михаил С. Баранов, Konstantin V. Purtov, Yuichi Oba, Константин С. Минеев and А. А. Грачев. Their work appears in journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Angewandte Chemie International Edition.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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